Understanding the clinical characteristics and timeliness of diagnosis for patients diagnosed with Long COVID: A retrospective observational cohort study from North West London
Denys Prociuk, Jonathan Clarke, Nikki Smith, Ruairidh Milne, Cassie Lee, Simon de Lusignan, Ghazala Mir, Johannes De Kock, Erik Mayer, Brendan C Delaney, LOCOMOTION Consortium
{"title":"Understanding the clinical characteristics and timeliness of diagnosis for patients diagnosed with Long COVID: A retrospective observational cohort study from North West London","authors":"Denys Prociuk, Jonathan Clarke, Nikki Smith, Ruairidh Milne, Cassie Lee, Simon de Lusignan, Ghazala Mir, Johannes De Kock, Erik Mayer, Brendan C Delaney, LOCOMOTION Consortium","doi":"10.1101/2024.08.30.24312849","DOIUrl":null,"url":null,"abstract":"<strong>Background</strong> Long COVID is a multisystem condition first identified in the COVID-19 pandemic characterised by a wide range of symptoms including fatigue, breathlessness and cognitive impairment. Considerable disagreement exists in who is most at risk of developing Long COVID, driven in part by incomplete coding of a Long COVID diagnosis in medical records.","PeriodicalId":501276,"journal":{"name":"medRxiv - Public and Global Health","volume":"56 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Public and Global Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.30.24312849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background Long COVID is a multisystem condition first identified in the COVID-19 pandemic characterised by a wide range of symptoms including fatigue, breathlessness and cognitive impairment. Considerable disagreement exists in who is most at risk of developing Long COVID, driven in part by incomplete coding of a Long COVID diagnosis in medical records.